Digitised Historical Newspapers: A Changing Research Landscape (Introduction)

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Deep learning has been immensely successful at a variety of tasks, ranging from classification to artificial intelligence. Learning corresponds to fitting training data, which is implemented by descending a very high-dimensional loss function. Understandin ...

The ability to integrate complex electronic and optoelectronic functionalities within soft and thin fibers is one of today's key advanced manufacturing challenges. Multifunctional and connected fiber devices will be at the heart of the development of smart ...

The spatial and formal conception of architecture, and thus its modes of design perception and representation, directly contributes to its machine-learnability; and consequently, its capacity in leveraging today's machine learning apparatus for design inno ...

This paper presents a parallel implementation technique of digital equalizer for high-speed wireline serial link receiver (RX). In wireline RX, inter-symbol interference (ISI) is mitigated by continuous-time linear equalizer, and the remaining ISI is cance ...

Digitised Historical Newspapers: A Changing Research Landscape (Introduction)

Chattez avec Graph Search

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Advanced Multimaterial Electronic and Optoelectronic Fibers and Textiles

Architectural Sampling: A Formal Basis for Machine-Learnable Architecture

Parallel Implementation Technique of Digital Equalizer for Ultra-High-Speed Wireline Receiver